From $50K to $72K ARR in 90 Days
How an anonymized project analytics SaaS increased revenue 45% and reduced churn 30% by launching regional PPP pricing.
What is the company profile?
Product
Project analytics for remote teams
Pre-PPP Revenue
$50K ARR (US/EU only)
Team
5-person startup, $0 raised
What was the problem?
"We had high-traffic from India and Brazil but near-zero conversions. The founder noticed that 50% of website traffic came from emerging markets, but only 2% of revenue. They realized that a developer in India earning $300/month couldn't justify $99/month software."
Traffic vs Revenue Gap:
- 🇮🇳 India: 25% of traffic, <0.5% of revenue
- 🇧🇷 Brazil: 15% of traffic, 1% of revenue
- 🇺🇸 USA/EU: 45% of traffic, 98.5% of revenue
What was the solution: regional PPP pricing?
The team decided to implement regional pricing using PriceParity:
$99/mo
0% off
$49/mo
50% off
$29/mo
70% off
Implementation: Added one script tag to checkout page. Set pricing tiers in PriceParity dashboard. Took 30 minutes.
What were the results over 90 days?
Total Revenue
Conversion Rate (Global)
India Conversions
Brazil Conversions
Annual Churn
Customer Lifetime Value
Why did it work?
Regional pricing felt fair. Customers from India loved the transparency: "Finally, pricing that respects PPP!"
No sales friction. Customers bought immediately at fair regional price without long negotiation.
Reduced churn. Emerging market customers had 30% lower churn (fair pricing = happier customers).
Revenue didn't cannibalize. US/EU customers still paid full price. Emerging markets were net-new revenue.
Scalable. No manual per-customer discounting. Automation handled 100% of regional pricing.
"We went from ignoring 80% of our traffic to converting it. Regional pricing didn't just increase revenue—it gave us a path to scale globally without losing our soul. Our India customers love us now."
- Anonymized founder interview
What are the key takeaways?
- High international traffic but low conversion? Regional pricing is likely the issue.
- Fair pricing > discounting. Customers prefer transparent PPP pricing to feeling undercut.
- Automation is everything. Manual discounts don't scale. PPP pricing does.
- Implementation is trivial. One script tag. Done.
- Revenue increase is conservative. Most SaaS see 30-70% lift depending on traffic mix.
What did the implementation timeline look like?
The team had no prior experience with regional pricing. The full implementation, from first reading the PriceParity docs to seeing the first PPP-discounted checkout, took under two hours.
Signed up for trial, created pricing rule with three tiers (US/EU full price, Brazil/Mexico 50% off, India/Vietnam 70% off), copied script tag.
Added script tag to checkout page. Used a VPN to verify India and Brazil tiers returned the correct Paddle coupon. No backend changes needed.
First organic conversion from India at regional price. The founder described this as a moment of realisation: "We'd never had an Indian customer before. Within 24 hours we had two."
India and Brazil conversions climbed steadily. Monitored US/EU conversions for any sign of VPN arbitrage — saw none. US conversions were flat, as expected.
First measurable ARR uptick from emerging market customers visible in Paddle dashboard. Churn from India/Brazil customers: 0% in month one (early signal).
ARR at $72K, up from $50K. All growth attributable to emerging market expansion. No revenue cannibalized from existing US/EU customers.
What mistakes did the team avoid?
The founder reflected on several decisions that turned out to be right in retrospect:
Did not try to build this manually first
An early instinct was to create Paddle coupon codes for India and Brazil manually and distribute them in communities. The team estimated this would take a week to set up and produce inconsistent results. Using an automated tool meant they had consistent, fraud-protected pricing live in 45 minutes.
Did not limit to a single country as a test
Another instinct was to "test" PPP pricing in one country before rolling out globally. Because automated pricing costs nothing extra to apply to additional countries, limiting to one country just delayed the revenue upside. Rolling out to all eligible countries simultaneously was the right call.
Did not adjust US/EU pricing upward to compensate
A worry was that offering lower prices in India would justify raising prices in the US to "maintain average ARPU." This would have damaged conversion in the core market. PPP pricing works because emerging market revenue is additive — not a reason to change your home market pricing.
What metrics should you track when implementing PPP pricing?
Based on the outcomes in this case study, these are the leading and lagging indicators that give the clearest picture of whether PPP pricing is working:
- Conversion rate by country (weekly, segmented by tier) — leading indicator, visible within 1–2 weeks
- New MRR from PPP-priced customers (monthly) — the primary revenue metric
- Churn rate for PPP-priced cohorts vs full-price cohorts — fair pricing reduces churn; track at 30/60/90 days
- US/EU conversion rate (weekly) — confirms no cannibalization from VPN abuse
- Paddle analytics: coupon usage by tier — shows which regional tiers are driving volume
- Support ticket volume related to pricing — should decrease as transparent regional pricing reduces confusion
In this case study, the team monitored these metrics weekly for the first 30 days, then monthly. The 90-day measurement cadence was what produced the headline result: consistent enough tracking to separate signal from noise in conversion rate changes.
Calculate your own PPP opportunity with the PPP Pricing Calculator — enter your price and see fair regional equivalents for 40+ countries.
Ready to Unlock Your International Revenue?
Start your 14-day free trial. No credit card. See your PPP opportunity in real-time.
Start Free Trial